US4920807A - Method for predicting the fatigue life of a vehicle suspension component - Google Patents

Method for predicting the fatigue life of a vehicle suspension component Download PDF

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Publication number
US4920807A
US4920807A US07/350,594 US35059489A US4920807A US 4920807 A US4920807 A US 4920807A US 35059489 A US35059489 A US 35059489A US 4920807 A US4920807 A US 4920807A
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Prior art keywords
durability
events
factor
article
schedule
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Expired - Fee Related
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US07/350,594
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English (en)
Inventor
Richard S. Stokes
Robert M. Muldowney
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Dana Inc
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Dana Inc
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Assigned to DANA CORPORATION, A CORP. OF VA reassignment DANA CORPORATION, A CORP. OF VA ASSIGNMENT OF ASSIGNORS INTEREST. Assignors: MULDOWNEY, ROBERT M., STOKES, RICHARD S.
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Publication of US4920807A publication Critical patent/US4920807A/en
Priority to CA002016394A priority patent/CA2016394A1/fr
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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/32Investigating strength properties of solid materials by application of mechanical stress by applying repeated or pulsating forces

Definitions

  • This invention relates in general to fatigue life estimation procedures and in particular to a method for obtaining fatigue life prediction information for a vehicle suspension component or similar article which is subjected to laboratory durability testing using real time loading.
  • testing and analysis procedures are often employed to determine the suitability of the product for its intended use.
  • the testing procedures are usually performed in a laboratory in such a manner as to closely simulate the service environment of the product.
  • the nature and quantity of the testing procedures will, therefore, vary according to the nature of the product and its intended life span.
  • real time road simulation testing typically involves subjecting the suspension component to a series of loadings by means of a test device. The test loadings follow the magnitude and frequency content of the loadings which are expected to be received in the normal service environment of the vehicle.
  • the Weibull analysis method requires that several samples of the product be subjected to identical testing procedures until some predetermined test termination criteria is met. The data which is acquired from each of those testing procedures is used in the Weibull analysis method to estimate the fatigue life of the product.
  • the Weibull analysis method assumes that the amplitudes of the loadings applied to each of the tested samples of the product are constant over a period of time. This assumption is inconsistent with the actual use of many products, including vehicle suspension components, which are subjected to widely varying amplitude loadings during use. Thus, the Weibull analysis method has not been well suited for use in connection with real time road simulation testing and the data generated thereby to predict the fatigue life of vehicle suspension components.
  • This invention provides a method whereby data generated from real time variable amplitude loading on an article can be used in conjunction with the Weibull analysis method to obtain fatigue life prediction information.
  • an area of interest is determined on the article.
  • a durability schedule is defined for that article as a predetermined number of passes through each of a predetermined number of events, each of the events being defined by the generation of strains in the article having a predetermined range of magnitudes and frequencies.
  • a total effective damage factor caused to the component by one pass through each of the events is next determined, which permits the determination of a total durability factor for all of passes for all of the events defined in the durability schedule.
  • the article is then tested by subjecting it a plurality of passes through all of the events defined in the durability schedule until a termination criteria is reached.
  • a total actual damage factor ca be determined based upon the number of tested passes through each of the events defined in the durability schedule.
  • a final durability factor for the article is lastly determined by dividing the the total actual damage factor by the total durability factor.
  • a plurality of final durability factors can be used to obtain the desired fatigue life information.
  • the first step in the method of this invention is to determine the primary failure mode or other area of design concern of the article, which may be a vehicle suspension component.
  • This initial determination is performed so that the scope of the subsequent test data acquisition, which will be explained in detail below, can be limited to that particular area of concern.
  • any one of the various known methods of full field stress analysis may be used.
  • reference may be made to previous test information concerning the component.
  • the area of the component which is first subject to failure, or which is otherwise of concern is initially identified.
  • the strain gauges generate electrical signals which are representative of the magnitude of the strains present in the areas of the component at which they are attached. As will be explained in greater detail below, the strain gauges measure elongations which are induced in the component during the testing process so as to permit an analysis of whether the component design meets established fatigue criteria.
  • the component is installed on a conventional laboratory test device.
  • the test device is adapted to apply strains of varying magnitude and frequency to the component.
  • the specific magnitudes and frequencies of such strains are predetermined, based upon the nature of the component and its intended use.
  • a durability schedule is used to define which of the predetermined magnitudes and frequencies of the strains the component must endure without failure to be acceptable.
  • the durability schedule defines the magnitudes and frequencies of the strains which will be applied to a particular component by the test device.
  • the durability schedule defines the testing criteria for a given article as consisting of a predetermined number of passes through each of a predetermined number of events. Each event is defined as the generation of strains in the article having a predetermined range of magnitudes and frequencies. For the purposes of illustration, let it be assumed that a durability schedule for a particular vehicle suspension component is defined by five different events, referred to as Event Nos. 1 through 5. Event No. 1 is characterized by the generation of strains in the component within a first predetermined range of magnitudes and frequencies, while the other events are characterized by strains at other predetermined ranges of magnitudes and frequencies. Let it further be assumed that the durability schedule defines that each of the events must be repeated the number of times shown in Table 1.
  • the suspension component must be able to withstand all of the required passes through each of the five events without failing.
  • the next step in the method involves the determination of a total effective damage factor related to one pass through each of the events defined in the durability schedule. This determination is preferably made by subjecting the component to a single pass through each of Event Nos. 1 through 5 and measuring the resultant strains induced in the component. As mentioned above, the test device induces the strains in the component, causing elongations thereof. The strain gauges are responsive to these elongations for generating electrical signals which are proportional to the induced strains. Preferably, a computer is used to selectively interrogate each of the strain gauges and store the raw data generated thereby.
  • the component may be subjected to one pass of each of the five events sequentially, thereby permitting all of the strain measurements for the five events to be made during the same preliminary testing period.
  • each event may be performed individually (and the corresponding total effective damage factor related to that one event may be determined) before proceeding to the next event if desired.
  • Event No. 1 is transformed into a tabulation of peak-valley counts using a well known rainflow counting algorithm.
  • the following table illustrates a typical tabular listing of the number of cycles at each of a plurality of strain levels obtained from rainflow counted data for Event No. 1.
  • the parameters are determined by the material used to form the component being tested. If, for example, the material used to form the component is SAE 1005 steel, the following parameters for the strain level of 4000 micro strain:
  • N 5312 cycles to failure at the micro strain level.
  • the number of cycles to failure can be calculated in a similar manner for each of the other strain levels for Event No. 1, as shown in Table 3.
  • an effective damage factor is calculated.
  • the effective damage factors represent the relative amount of damage caused to the component at each of the strain levels during Event No. 1. Table 3 illustrates these calculations.
  • a total effective damage factor can be calculated for one pass through Event No. 1.
  • the total effective damage for Event No. 1 is 5.435E(-4).
  • the above steps are then repeated for Event Nos. 2 through 5 defined in the durability schedule for the component. Accordingly, a total effective damage factor is calculated for a single pass through each of Event Nos. 1 through 5.
  • each event in the durability schedule has a relative damage factor assigned to it.
  • a durability factor is determined for each of the events.
  • the durability factors are calculated by multiplying required number of passes through each event (as defined in the durability schedule) by the corresponding relative damage factor (as determined above). Table 4 illustrates these calculations.
  • a total durability factor is generated.
  • the total durability factor for the entire durability schedule is equal to 1681.10. This figure represents the relative amount of damage caused to the component by subjecting it to all of the required passes of each of the events defined in the durability schedule.
  • the component can be tested in a conventional manner by the test device.
  • the test device subjects the component to repeated passes through each of the events defined in the durability schedule. This testing continues until it is terminated because of failure of the component or until it is suspended for some other reason.
  • the number of passes through each event will preferably meet or exceed the required number of passes defined in the durability schedule.
  • a total actual damage factor for that tested component is determined.
  • This total actual damage factor is calculated by initially multiplying the number of actual passes through each of the events during the testing process by the respective relative damage factors assigned to those events, as previously determined. Table 5 illustrates these initial calculations.
  • a total actual damage factor is generated. Using the figures shown in Table 5, the total actual damage factor is equal to 2589.04. This figure represents the relative amount of the total actual damage caused to the component by subjecting it to repeated test passes through each of the events during the testing process.
  • This final durability factor represents the amount by which the component exceeds (if the final durability factor is greater than 1.00) or falls below (if the final durability factor is less than 1.00) the requirements defined in the durability schedule.
  • the final durability factor of the tested component is equal to 1.54 (2589.04 divided by 1681.10). In other words, the predicted life of the tested component is 1.54 times greater than the requirements defined by the durability schedule.
  • a plurality of final durability factors can be generated. For example, assume that four samples of the component are tested, thereby yielding four different final durability factors shown in Table 6. By reference to conventional statistical tables, a median rank can be assigned to each of the final durability factors, as shown in Table 6.

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
US07/350,594 1989-05-11 1989-05-11 Method for predicting the fatigue life of a vehicle suspension component Expired - Fee Related US4920807A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US07/350,594 US4920807A (en) 1989-05-11 1989-05-11 Method for predicting the fatigue life of a vehicle suspension component
CA002016394A CA2016394A1 (fr) 1989-05-11 1990-05-09 Methode de prevision du coefficient de fatigue d'un element de suspension de vehicule automobile

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US07/350,594 US4920807A (en) 1989-05-11 1989-05-11 Method for predicting the fatigue life of a vehicle suspension component

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CA (1) CA2016394A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6226597B1 (en) * 1996-11-27 2001-05-01 Hamilton Sundstrand Corporation Method of maintaining components subject to fatigue failure
RU2167404C2 (ru) * 1999-05-05 2001-05-20 Петров Валентин Алексеевич Способ определения длительной прочности материала
US6615671B1 (en) * 1999-02-03 2003-09-09 Daimlerchrysler Rail Systems Gmbh Method for determining the fatigue strength of a corrodible connecting part
US20070295098A1 (en) * 2006-06-22 2007-12-27 Balestra Chester L System and method for determining fatigue life expenditure of a component
CN106446387A (zh) * 2016-09-18 2017-02-22 同济大学 一种高速磁悬浮列车制动磁铁连接装置的疲劳寿命预测方法
US20210048811A1 (en) * 2018-05-25 2021-02-18 Nec Corporation Model generation device for life prediction, model generation method for life prediction, and recording medium storing model generation program for life prediction

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SAE Technical Paper No. 680084, Lipson et al., (1968). *
SAE Technical Paper No. 861849, Kececioglu et al., (1986). *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6226597B1 (en) * 1996-11-27 2001-05-01 Hamilton Sundstrand Corporation Method of maintaining components subject to fatigue failure
US6615671B1 (en) * 1999-02-03 2003-09-09 Daimlerchrysler Rail Systems Gmbh Method for determining the fatigue strength of a corrodible connecting part
RU2167404C2 (ru) * 1999-05-05 2001-05-20 Петров Валентин Алексеевич Способ определения длительной прочности материала
US20070295098A1 (en) * 2006-06-22 2007-12-27 Balestra Chester L System and method for determining fatigue life expenditure of a component
WO2007149150A3 (fr) * 2006-06-22 2008-04-03 Boeing Co Système et procédé pour déterminer l'épuisement de la résistance à la fatigue d'un composant
US7454297B2 (en) 2006-06-22 2008-11-18 The Boeing Company System and method for determining fatigue life expenditure of a component
CN106446387A (zh) * 2016-09-18 2017-02-22 同济大学 一种高速磁悬浮列车制动磁铁连接装置的疲劳寿命预测方法
US20210048811A1 (en) * 2018-05-25 2021-02-18 Nec Corporation Model generation device for life prediction, model generation method for life prediction, and recording medium storing model generation program for life prediction

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Publication number Publication date
CA2016394A1 (fr) 1990-11-11

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